S/LAB PHANTASM 2
S/LAB PHANTASM 2 is a carbon-plated road racer for personal records and podium finishes. A lighter single-layer mesh upper and close-fitting collar refine its race fit. Opti Foam+ works with a full-length Energy Blade carbon plate, while a forward-shifted rocker aids transitions. Flat laces spread pressure over the instep, and Road Contagrip uses broad, flat lugs for paved surfaces.
- Intended uses:
- Race, Marathon
Specs
Among 884 listed shoes, this is a lighter / high-stack Racing
- Weight
- 219g
- Of 826 known values: 117 lower, 1 equal, 708 higher. The marker uses the midpoint of equal values.
- lighterLower 14.3%, including ties / average -48g
- Drop
- 9mm
- Of 830 known values: 662 lower, 15 equal, 153 higher. The marker uses the midpoint of equal values.
- higherUpper 20.2%, including ties / average +2.2mm
- Stack height (heel/forefoot)
- 37.5 / 28.5mm
- Of 696 known values: 451 lower, 9 equal, 236 higher. The marker uses the midpoint of equal values.
- higherUpper 35.2%, including ties / average +2.8mm
- Carbon plate
- Yes
- 17% of 790 known models have carbon plates
- Midsole
- Opti Foam+
- Outsole
- Road Contagrip
- Reference price
- -
- Not registered
Weight measurement and plate details
- Weight note
- The exact Japanese unisex product page lists 219 g; sample size is unspecified.
- Plate note
- Exact JP construction explicitly identifies full-length Energy Blade carbon-fiber plate.
Compare within the database
See where these specs sit in the overall distribution. You can also compare within the same category.
Comparison: All data (884 shoes)
Position map
Weight x stack height
registered average: 266g / 34.7mm (689 shoes)
The scatter plot includes only shoes with both weight and stack height registered.
Spec distributions
Weight
This shoe 219g·registered average 267g (826 shoes)
Drop
This shoe 9mm·registered average 6.8mm (830 shoes)
Stack height
This shoe 37.5mm·registered average 34.7mm (696 shoes)
Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.